Most founders don’t have a traffic problem

This is a great perspective, Tom. The 'volume trap' is real, and not just for traffic. We see the same thing in B2B outreach—founders think they have a 'leads' problem, so they buy bigger lists, but their real issue is a 'signal' problem.

They are reaching out to people with zero intent or context, which is the outreach equivalent of 'confused traffic.' Getting that clarity on why someone is a good fit before you hit send changes the math entirely.

Quick question: For FeedBok, are you finding that most 'quietly frustrated' users give up after a specific friction point, or is it usually a slow fade-out?

There seems to be two parts to this right? There is the core value prop and then there is the side value props - the features. If the core value prop doesnt resonate, people will simply not return. And they wont bother giving you feedback either. if the side value props - maybe the UI is less intuitive, maybe there is a feature missing, then they will voice it.

There is also the ground zero where the words we use to convey what we are solving doesnt resonate with the intended users (or the pitch is too broad that it is confusing).

Im guessing you are solving the issue for people whose core value prop is getting addressed but they are either not sticking, or frustrated with the side value props? if that is the case, referrals slow down, but users would still retain? If users are churning, the core value prop has an issue - and they wouldnt even tell you that, no?

Feedback was there, just not visible in a way that forced action."

This is the real insight. Most tools just collect feedback - they don't surface patterns or prioritize what actually matters.

I've been in that exact position: 100+ support tickets, feature requests in 5 different places (email, Twitter, in-app chat, Slack community), and zero clarity on what to build next.

Question:

How does FeedBok turn raw feedback into "forced action"? Is it:

- Sentiment analysis + clustering similar requests?

- Tagging by user tier (paying vs free)?

- Tracking request frequency over time?

- Something else?

The "clarity over volume" mindset shift is spot on. I'd add: most founders also struggle with who to listen to.

Power users have different needs than new users. Paying customers vs free tier. Early adopters vs mainstream.

Does your tool help filter by user segment, or is it more about surfacing the overall signal from noise?

Congrats on building this for yourself first. Best products come from scratching your own itch.

This is a good reminder. We launched a week ago and immediately jumped to Google Ads thinking traffic was the answer. $70 spent, 7 clicks, 0 conversions. The few people who did visit spent 16 seconds on the site and left. Instead of spending more on ads, we probably need to figure out why those 7 people didn't stick around. Listening before scaling — simple but easy to forget when you're in launch mode.

Spot on. I spent months obsessing over acquisition before realising my real problem was the users silently walking out the back door. The feedback was there — I just wasn't capturing it at the right moment. That's actually what led me to start building a tool focused on the cancel moment itself — intercepting churn with targeted offers and capturing the 'why' before they're gone. Retention work is unglamorous but the ROI blows acquisition out of the water

This hits. Clarity always comes from listening, both before launch and after.